This paper presents a robust phase correlation technique and a compound phase correlation method for reliable sub-pixel image feature matching and motion estimation. A phase fringe filter and a highly robust estimator QMDPE are used to improve the fitting accuracy of the phase difference plane in Fourier domain. A compound phase correlation method is proposed to identify and decompose the multi...

A multiple-image method is proposed to approximate the reaction-field potential of a source charge inside a finite length cylinder due to the electric polarization of the surrounding membrane and bulk water. When applied to a hybrid ion-channel model, this method allows a fast and accurate treatment of the electrostatic interactions of protein with membrane and solvent. To treat the channel/mem...

Good fitting of traffic data is important to traffic study because initial and boundary conditions of dynamic traffic models and relationships among traffic variables are dependent on the calibration of data. In this paper, a denoising method of traffic data, such as speed, density and flow, is proposed and discussed numerically. The denoising procedure is based on Daubechies wavelet transform ...

Bovine iris recognition technology plays a very important role in meat food traceability system about large-scale livestock individual identification. In order to improve the precision and speed of bovine iris location, iris inner and outer edge location method based on dynamic contour tracking and least square principle ellipse fitting were respectively proposed in the paper, according to the ...

We describe an algorithm by which an autonomous land vehicle is able to navigate along roads utilising lane boundary markings. This is achieved by defining a six-parameter model of the lane markings and fitting this to the processed monochrome image using non-linear least squares techniques. By qualitative as well as quantitative analysis over many hundreds of images the model used is shown to ...

Point distribution models are flexible shape models in which a shape is represented by a set of labelled points on the boundary. This paper uses techniques drawn from the Finite Element Method to include grey level information in such models. As both Point Distribution Models and the Finite Element Method represent objects using a set of labelled points, the techniques are very compatible. Resu...

Iris boundaries localization is a critical model in facial feature-based recognition systems. It has a close relationship to the results’ accuracy of these applications. In this paper, we propose a new algorithm based on the angular integral projection function (AIPF) to localize eyeball (iris outer boundary ) in iris images. The proposed algorithm adopts boundary points detection and curve fit...